摘要
为合理设计废旧家电回收物流网络,结合展望理论和几何平均合成方法构造消费者交付满意度函数,建立该类网络的选址-定价联合决策模型。利用该模型可以确定收集点和回收中心的开设位置、收集点的废旧家电收购价格以及消费者的满意收集点。为便于模型求解,提出嵌入贪婪算法和线性规划精确算法的混合遗传算法,介绍算法的实现步骤。最后通过算例验证模型及算法的有效性。
To acquire reasonable waste household appliance returned logistics network , a waste returning satisfaction function for consumers was constructed based on prospect theory and geometric average synthesis method , and a joint location-pricing decision model for this kind of returned logistics network was developed .With the help of the model , the following items could be deter-mined, such as optimal sites for collection station and return center , purchase price for each collection station and favorite collec-tion station for each consumer .To solve the model , a hybrid genetic algorithm embedded greedy algorithm and exact algorithm of linear programming was presented , and its realization steps were explained .Finally, effectiveness of the model and its algorithm were verified by an example .
出处
《计算机与现代化》
2015年第5期71-75,80,共6页
Computer and Modernization
基金
国家自然科学基金资助项目(71001091)
教育部人文社会科学研究青年基金资助项目(10YJC630041)
河南省教育厅自然科学研究计划项目(2011B630018)
关键词
回收物流网络
选址-定价联合决策模型
双层规划
混合遗传算法
废旧家电
returned logistics network
joint location-pricing decision model
bi-level programming
hybrid genetic algorithm
waste household appliance
